Results 81 to 90 of about 14,331,929 (193)

Adaptive HAR System to Improve Recognition Accuracy

Mehran University Research Journal of Engineering and Technology, 2018
HAR (Human Activity Recognition) system becomes complex, inefficient and less accurate as we keep on adding new activities into the system; because it follows a specific procedure for activity recognition, from raw data collection to classification.
Muhammad Arshad Awan
doaj   +1 more source

Wearable Sensor-Based Human Activity Recognition via Two-Layer Diversity-Enhanced Multiclassifier Recognition Method

Sensors, 2019
Sensor-based human activity recognition can benefit a variety of applications such as health care, fitness, smart homes, rehabilitation training, and so forth.
Yiming Tian, Xitai Wang, Lingling Chen, Zuojun Liu   +3 more
doaj   +1 more source

Recognition of Human Motion Related Activities from Sensors [PDF]

, 2010
This work presents the design and evaluation of an activity recognition system for seven important motion related activities. The only sensor used is an Inertial Measurement Unit (IMU) worn on the belt.
Vera Nadales, Maria Josefa
core  

Human activity recognition for production and logistics - a systematic literature review

, 2019
This contribution provides a systematic literature review of Human Activity Recognition for Production and Logistics. An initial list of 1243 publications that complies with predefined Inclusion Criteria was surveyed by three reviewers.
Reining, Christopher, Fink, Gernot A., Moya Rueda, Fernando, Niemann, Friedrich, Ten Hompel, Michael   +4 more
core   +1 more source

Fast Human Activity Recognition

Proceedings of the International Conference on Image Processing and Vision Engineering, 2021
Shane Reid, Sonya Coleman, Dermot Kerr, Philip J. Vance, Siobhan O'Neill   +4 more
openaire   +2 more sources

Transfer-Learning-Based Human Activity Recognition Using Antenna Array

Remote Sensing
Due to its low cost and privacy protection, Channel-State-Information (CSI)-based activity detection has gained interest recently. However, to achieve high accuracy, which is challenging in practice, a significant number of training samples are required.
Kun Ye, Sheng Wu, Yongbin Cai, Lang Zhou, Lijun Xiao, Xuebo Zhang, Zheng Zheng, Jiaqing Lin   +7 more
doaj   +1 more source

Attention-Based CNN-BiGRU-Transformer Model for Human Activity Recognition

Applied Sciences
Human activity recognition (HAR) based on wearable sensors is a key technology in the fields of smart sensing and health monitoring. With the rapid development of deep learning, its powerful feature extraction capabilities have significantly enhanced ...
Mingda Miao, Weijie Yan, Xueshan Gao, Le Yang, Jiaqi Zhou, Wenyi Zhang   +5 more
doaj   +1 more source

Ensemble Manifold Rank Preserving for Acceleration-Based Human Activity Recognition

, 2016
With the rapid development of mobile devices and pervasive computing technologies, acceleration;based human activity recognition, a difficult yet essential problem in mobile apps, has received intensive attention recently.
Yuan, Yuan, Xue, Yang, Tao, Dapeng, Jin, Lianwen   +3 more
core   +1 more source

Informative shape representations for human action recognition

, 2006
Shape and kinematics are two important cues in human movement analysis. Due to real difficulties in extracting kinematics from videos accurately, this paper proposes to address the problem of human action recognition by spatiotemporal shape analysis ...
Liang Wang, D. Suter, Suter, D., Wang, L.   +3 more
core   +1 more source

Human motion recognition using gaussian processes classification

, 2008
This paper investigates the applicability of Gaussian processes (GP) classification for recognition of articulated and deformable human motions from image sequences.
Liang Wang, Suter, D., Hang Zhou, Wang, L., Zhou, H., David Suter   +5 more
core   +1 more source